Using supertasks to improve processor utilization in multiprocessor real-time systems

We revisit the problem of supertasking in Pfair-scheduled multiprocessor systems by presenting a generalized "reweighting" algorithm. The generalized algorithm we present breaks new ground by permitting tasks to have noninteger execution costs, by incorporating blocking terms into the analysis, and by assuming a more flexible global-scheduling model. To demonstrate the efficacy of the supertasking approach, we present an experimental evaluation of our algorithm that suggests that reweighting may often result in almost no schedulability loss in practice.